Romulus Mawa | Engineering | Best Researcher Award

Dr. Romulus Mawa | Engineering | Best Researcher Award

Dr. Romulus Mawa | Engineering | China University of Geosciences | China

Dr. Romulus Mawa Tuzingila is an emerging researcher and Ph.D. candidate specializing in geological and petroleum engineering with a focus on rock mechanics, geomechanics, shale reservoir characterization, and subsurface energy resources, currently affiliated with the China University of Geosciences in Wuhan, China, where he contributes to experimental, analytical, and computational research within the Department of Petroleum Engineering and related key laboratories; he received his foundational education in earth sciences and petroleum exploration (with preliminary degrees completed prior to his doctoral studies, details are drawn from his extensive research output and academic profiles), and over the course of his academic career he has gained significant research experience working on multidisciplinary projects involving experimental rock physics, petrophysical characterization of organic-rich shale, hydraulic fracturing mechanisms, and CO₂–rock interactions as relevant to unconventional reservoir development and carbon storage strategies, conducting laboratory experiments such as uniaxial and triaxial compression, brittleness modeling, and mineralogical analysis using tools like X-ray diffraction and nuclear magnetic resonance, which have shaped his strong methodological and analytical expertise in geomechanical testing and numerical modeling; Dr. Tuzingila’s professional experience extends to international collaborations with co-authors from China and the Democratic Republic of the Congo and includes contributions to both high-impact scholarly journals and engineering society proceedings, demonstrating his ability to bridge fundamental science with applied energy engineering challenges, and his research interests center on the mechanical behavior of organic-rich marine shales, the effects of mineralogy and anisotropy on fracture propagation, and the implications of CO₂ geological storage and enhanced hydrocarbon recovery, supported by a robust set of research skills that range from experimental design and rock physics modeling to data interpretation and scientific writing; his scholarly contributions have attracted citations in related fields, reflecting peer recognition, and his awards and honors include acknowledgment of his peer-reviewed publications and participation in international research networks, underscoring his commitment to advancing knowledge in geomechanics and energy resources; overall, Dr. Tuzingila’s work continues to impact the understanding of subsurface mechanics and reservoir engineering, positioning him as a notable researcher in earth and energy sciences.

Academic Profile: Scopus

Featured Publications:

Tuzingila, R. M., et al. (2026). Machine learning to estimate the brittleness index of organic shale: Case study of Marcellus Shale formation. Journal of Energy Engineering.

 

Imtiaz Ahmad | Ecosystem | Best Researcher Award

Dr. Imtiaz Ahmad | Ecosystem | Best Researcher Award

Dr. Imtiaz Ahmad | Ecosystem | Northeast Normal University | China

Dr Imtiaz Ahmad is a dedicated researcher in the field of geography whose work reflects a strong commitment to understanding urban environmental processes, spatial dynamics, and the impacts of human activities on ecological patterns, particularly in rapidly changing regions. With an academic foundation built through rigorous university training and research engagement at the graduate and postgraduate levels, Dr Imtiaz Ahmad has cultivated a solid expertise in geographic information systems, remote sensing, urban climatology, and environmental assessment. His education has equipped him with advanced analytical and methodological skills that enable him to investigate complex spatial phenomena using innovative, data-driven approaches. Professionally, Dr Imtiaz Ahmad has engaged in research roles that emphasize spatial analysis, environmental monitoring, and collaborative scientific inquiry, developing proficiency in satellite-image interpretation, GIS-based modeling, and landscape-level ecological assessment. His scholarly interests include urban heat island effects, thermal field variance, land-use change, climate-related risk mapping, and the application of spatial technologies to support sustainable development and evidence-based environmental planning. In addition, Dr Imtiaz Ahmad demonstrates strong research skills in data collection, quantitative and qualitative spatial analysis, geostatistical techniques, environmental modeling, and scientific writing. His collaborative publication “Assessing Urban Thermal Field Variance and Surface Urban Heat Island Effects: An Ecological Study in Malakand Division, Pakistan” highlights his ability to integrate environmental science with advanced geospatial tools, contributing to ongoing discussions on climate resilience and urban sustainability. Although early in his publication record, the quality of his research is reflected in his citation impact and growing academic visibility. Throughout his academic journey, Dr Imtiaz Ahmad has been recognized for his dedication to rigorous research, methodological precision, and contributions to environmental geography, earning positive acknowledgment and scholarly distinction as his work gains attention. His honors stem primarily from academic excellence, strong research performance, and commitment to advancing scientific understanding within his field. In conclusion, Dr Imtiaz Ahmad stands as a promising and analytically driven researcher whose work contributes meaningful insight into environmental change and spatial processes. With strong technical abilities, emerging scholarly influence, and sustained interest in geospatial research, he is well positioned to continue producing impactful studies that support ecological sustainability, environmental policy, and the advancement of geographic science.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Ahmad, I., Ping, W., Razzaq, A., Muhammad, B. J. H., & Ali, W. (2024). Assessing urban thermal field variance and surface urban heat island effects: An ecological study in Malakand Division, Pakistan. Citations: 2.

 

 

Tuniyazi Abudoureheman | Intelligent Systems | Research Excellence Award

Dr. Tuniyazi Abudoureheman | Intelligent Systems | Research Excellence Award

Dr. Tuniyazi Abudoureheman | Intelligent Systems | Hiroshima University | Japan

Dr. Tuniyazi Abudoureheman is a dedicated researcher and Ph.D. student at Hiroshima University whose work focuses on advanced sensing, machine vision, and robotic system diagnostics, contributing meaningfully to the fields of high-frame-rate (HFR) imaging, vibration analysis, and automated detection systems. Dr. Tuniyazi Abudoureheman began his academic journey with foundational studies that eventually led him to pursue graduate-level research, culminating in his current doctoral studies where he continues to expand his expertise in robotics and intelligent sensing technology. Throughout his professional experience, Dr. Tuniyazi Abudoureheman has actively engaged in collaborative research projects, working alongside multidisciplinary teams to design, implement, and validate methods involving HFR video, wing-beat frequency detection, and robot health monitoring across multiple postures. His early work also includes contributions to multi-target tracking using Kalman Filtering in complex environments, demonstrating both versatility and technical depth even before entering advanced doctoral research. The core research interests of Dr. Tuniyazi Abudoureheman include high-speed imaging, robotic vibration analysis, automated industrial inspection, bio-inspired detection systems, and machine vision algorithms, all of which align with the evolving demands of next-generation intelligent robotics. His research skills span HFR camera-based data acquisition, signal processing, vibration modeling, robotic motion evaluation, and applied machine learning, supported by strong analytical ability and experience with experimental system design. Dr. Tuniyazi Abudoureheman has also developed valuable competencies in publishing scientific results, presenting at conferences, and contributing to collaborative engineering investigations, which collectively strengthen his academic and professional profile. Although early in his academic career, Dr. Tuniyazi Abudoureheman has already earned recognition through peer-reviewed publications, citations, and participation in reputable conferences such as IEEE SENSORS, positioning him as an emerging scholar in robotics and sensing technology. His work has received growing scholarly attention, reflected in increasing citation counts and inclusion in respected journals covering robotics and mechatronics. In conclusion, Dr. Tuniyazi Abdurrahman continues to advance as a promising researcher whose technical contributions, methodological rigor, and commitment to innovation place him on a strong path toward future academic excellence and impactful scientific discovery.

Academic Profile: ORCID | Google Scholar

Featured Publications:

  1. Li, J., Shimasaki, K., Tuniyazi, A., Ishii, I., & Ogihara, M. (2023). HFR video-based hornet detection approach using wing-beat frequency analysis. 3 citations.

  2. Abudoureheman, T., Wang, F., Shimasaki, K., & Ishii, I. (2025). HFR-video-based vibration analysis of a multi-jointed robot manipulator. 1 citation.

  3. Abudoureheman, T., Otsubo, H., Wang, F., Shimasaki, K., & Ishii, I. (2025). High-frame-rate camera-based vibration analysis for health monitoring of industrial robots across multiple postures.

 

Bilal jan Haji Muhammad | Environmental Science |

Dr. Bilal jan Haji Muhammad | Environmental Science | Best Researcher Award

Dr. Bilal jan Haji Muhammad | Environmental Science | Ministry of Rural Rehabilitation and Development | Afghanistan

Dr. Bilal Jan Haji Muhammad is an emerging scholar in the fields of Remote Sensing, GIS, Applied Geology, and Petrography, recognized for his growing contributions to land use modeling, environmental assessment, and geological interpretation across diverse landscapes in Afghanistan, Pakistan, and neighboring regions. Dr. Bilal Jan Haji Muhammad earned his academic foundation in geology and advanced his expertise in geospatial sciences through postgraduate research and international academic exposure, including scholarly affiliation with Northeast Normal University, China, where he refined his skills in spatial analysis, satellite image interpretation, and applied earth sciences. His professional experience includes collaborative research with multidisciplinary teams focusing on land surface temperature analysis, morpho-tectonic investigations, land degradation assessment, chromite body characterization, and forest canopy density evaluation, contributing to peer-reviewed journals across geography, environmental science, and geology. Dr. Bilal Jan Haji Muhammad’s research interests span remote sensing applications in ecological monitoring, geospatial modeling of land cover dynamics, environmental hazards, geological mapping, and the integration of geochemical and satellite data for mineral exploration. His research skills include proficiency in GIS-based spatial analysis, LULC prediction modeling, spectral index interpretation, geochemical data integration, petrographic analysis, and advanced image processing using tools such as ArcGIS, ERDAS Imagine, ENVI, and related analytical software. Throughout his academic journey, Dr. Bilal Jan Haji Muhammad has collaborated with international researchers, contributed to applied environmental studies, and produced scientific outputs that collectively reflect his strong analytical capabilities and commitment to addressing regional environmental and geological challenges. Although early in his scholarly career, he has begun receiving citations and recognition for his contributions, demonstrating the increasing academic impact of his work. His collaborative spirit and methodological rigor have enabled him to publish studies addressing key environmental issues such as land degradation, surface urban heat islands, thermal field variance, and tectonic structure identification. Awards and honors associated with his academic development include recognition for his research contributions during his postgraduate studies and acknowledgment by institutional collaborators for his technical competence in remote sensing and geospatial applications. In conclusion, Dr. Bilal Jan Haji Muhammad represents a promising researcher whose interdisciplinary expertise, international collaboration, and growing publication record reflect his dedication to advancing geospatial science and applied geology for environmental understanding and sustainable resource management.

Quoted by
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h-index
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Google Scholar Metrics

Professional Profile:  Google Scholar

✔ Featured Publications:

  1. Muhammad, B. J. H. (2025). Modeling and prediction of land use land cover change dynamics based on the land change modeler in Kunar Province, Eastern Afghanistan. Citations: 2.

  2. Ahmad, I., Ping, W., Razzaq, A., & Muhammad, B. J. H. (2024). Assessing urban thermal field variance and surface urban heat island effects: An ecological study in Malakand Division, Pakistan. Citations: 2.

  3. Muhammad, B. J. H. (2025). Integration of remote sensing and geochemical analysis of chromite bodies in Logar Ophiolitic Complex, Southeast Afghanistan. Citations: 1.

  4. Muhammad, B. J. H. (2024). Morpho-tectonic and satellite image interpretation for identifying Garde fault in Afghanistan. Citations: 1.

 

Salma Faroug Hussain Elzaki | Genetics | Best Scholar Award

Dr. Salma Faroug Hussain Elzaki | Genetics | Best Scholar Award

Dr. Salma Faroug Hussain Elzaki | Genetics | University of Khartoum | Sudan

Dr Salma Elzaki is an accomplished geneticist and animal science researcher whose work centers on livestock genomics, genetic diversity, adaptation to environmental stressors, and improving production traits in indigenous cattle breeds, particularly Bos indicus (zebu) cattle such as the Sudanese Butana and its crossbreds. Dr Salma Elzaki earned her academic qualifications in animal genetics and breeding, culminating in advanced research training that laid the foundation for her contributions to bovine genomics and complex trait analysis. Her education equips her with expertise in population genetics, molecular markers, and statistical genomics, enabling her to design and implement comprehensive studies on cattle adaptation and performance. Over the course of her professional career, Dr Salma Elzaki has held research and academic positions at institutions including the Albrecht Daniel Thaer-Institute for Agricultural and Horticultural Sciences at Humboldt-Universität zu Berlin and the University of Khartoum’s Faculty of Animal Production, where she has been involved in collaborative projects on genetic diversity, genome analysis, and trait association studies in cattle. In these roles she has led sample collection, phenotypic data acquisition, genomic sequencing work, and statistical analysis to characterize breed-specific genetic architecture under environmental pressures. Dr Salma Elzaki’s research interests revolve around livestock adaptation to heat stress, disease resistance, genetic markers influencing production traits such as milk yield and mastitis susceptibility, and the development of genomic tools for sustainable breeding programs in challenging environments. Her skill set includes high-throughput genotyping, whole-genome sequencing analysis, SNP association studies, bioinformatics pipelines, and interpretation of genomic selection signatures. She has demonstrated proficiency in using molecular and computational techniques to uncover genetic variants and pathways involved in environmental resilience and productive performance in cattle. Dr Salma Elzaki’s work has garnered recognition in the form of peer-reviewed publications and collaborations, and her contributions have helped inform breeding strategies that balance productivity with adaptation to heat and disease pressures. In conclusion, Dr Salma Elzaki’s scholarly achievements and ongoing research underscore her commitment to advancing livestock genetics, particularly in underrepresented indigenous breeds, and reinforcing the role of genomic insights in improving global food security through resilient and productive animal populations.

Academic Profile: ORCID

Featured Publications:

  1. Neumann, G. B., Korkuć, P., Rahmatalla, S. A., Reißmann, M., Omer, E. A. M., Elzaki, S., & Brockmann, G. A. (2025). Surviving the Heat: Genetic Diversity and Adaptation in Sudanese Butana Cattle. Genes, 16(12), 1429.

  2. Elzaki, S., Korkuć, P., Arends, D., Reissmann, M., & Brockmann, G. A. (2022). Effects of DGAT1 on milk performance in Sudanese Butana × Holstein crossbred cattle. Tropical Animal Health and Production, 54, Article 142.

  3. Elzaki, S., Korkuc, P., Arends, D., Reissmann, M., Rahmatalla, S. A., & Brockmann, G. A. (2022). Validation of somatic cell score-associated SNPs from Holstein cattle in Sudanese Butana and Butana × Holstein crossbred cattle. Tropical Animal Health and Production, 54(1), 50. Cited by 4.

  4. Elzaki, S., Korkuć, P., & Arends, D. (2021). Design and performance of a bovine 200k SNP chip developed for endangered German Black Pied cattle (DSN). BMC Genomics, 22, 8237.

 

Tang Ping | Health | Research Excellence Award

Mrs. Tang Ping | Health | Research Excellence Award

Mrs. Tang Ping | Health | Shanghai Jiao Tong University | China

Mrs. Tang Ping is a dedicated researcher whose academic foundation was established at Shanghai JiaoTong University in Shanghai, China, where she completed her higher education and developed a strong interdisciplinary grounding that supports her work in public health and environmental safety; throughout her professional journey, Mrs. Tang has engaged in collaborative, data-driven research centered on understanding domestic environmental risks, with a particular focus on unintentional injuries affecting children in urban settings, a topic that reflects her commitment to addressing preventable public health challenges through evidence-based insights; her professional experience includes contributing to multidisciplinary investigations that evaluate how built environments, behavioral patterns, and household conditions contribute to health-related hazards, and she has worked closely with teams of scholars to analyze injury mechanisms, propose preventive frameworks, and broaden awareness of environmental safety factors; her research interests lie chiefly in child injury prevention, environmental health determinants, risk-exposure analysis, and the development of safer domestic environments, and she approaches these areas using mixed-method designs that incorporate quantitative assessments, qualitative behavioral observations, and structural risk evaluations; among her research skills, Mrs. Tang demonstrates proficiency in literature synthesis, environmental risk assessment, community-based data collection, statistical interpretation, and interdisciplinary project collaboration, all of which support her ability to examine health issues from multiple scientific angles; although the public record does not list specific awards or honors, her contribution as an author in peer-reviewed scientific publishing, including work appearing in reputable journals such as the International Journal of Environmental Research and Public Health, underscores her academic merit and the recognition of her efforts within the research community; overall, Mrs. Tang is a committed scholar whose work reflects a thoughtful engagement with public health concerns affecting vulnerable populations, and her dedication to understanding and preventing unintentional injuries positions her as an important contributor to ongoing dialogues about environmental safety, injury mitigation, and community well-being.

Academic Profile: ORCID

Featured Publications:

  1. Tang, P., Fan, Q., Sun, J., Ji, J., Yang, L., Tang, W., & Lu, Q. (2025). The hidden danger of unintentional child injuries in an urban domestic environment: Considering unintentional injuries from another angle. International Journal of Environmental Research and Public Health. Published 2025

 

 

Eliseu Assis | Public Health | Research Excellence Award

Assist. Prof. Dr. Eliseu Assis | Public Health | Research Excellence Award

Assist. Prof. Dr. Eliseu Assis | Public Health | Professor at IFBA – Campus Salvador | Brazil

Assist. Prof. Dr. Eliseu Assis is a distinguished academic and researcher serving as an Associate Professor at the Federal Institute of Bahia (IFBA), Brazil, where he has built a solid academic and professional career marked by interdisciplinary research, teaching excellence, and scientific contributions in epidemiological and environmental health studies, public health analysis, and water quality research, with a focus on methodologies such as epidemiological surveys and water quality analysis that reflect his deep commitment to understanding complex health and environmental phenomena and contributing to evidence-based policy and practice in Brazil and beyond; Assist. Prof. Dr. Eliseu Assis completed his higher education with advanced degrees (specific institutions and degree titles are not publicly detailed, but his publication record and academic roles reflect a solid foundation in health sciences and research methodologies), and he has continuously engaged in academic development through research collaborations, participation in graduate committee work, and supervision of graduate research, as evidenced by his involvement as a committee member in dissertations on topics such as the relationships between natural disasters and arbovirus incidence in Bahia and environmental education processes in protected areas, demonstrating his active role in mentoring emerging scholars and contributing to complex socio-environmental research projects ; throughout his professional experience, Assist. Prof. Dr. Eliseu Assis has authored or co-authored numerous peer-reviewed articles that address a range of public health issues, including rabies outbreaks, cutaneous leishmaniasis endemicity, acute coronary syndrome risk stratification, and parasitological prevalence in indigenous communities, showcasing his interdisciplinary research interests that bridge epidemiology, community health, environmental quality, and health outcomes, while collaborating with national and international scholars across diverse fields; his research interests span epidemiological analysis, environmental determinants of health, water and sanitation quality, and the social dimensions of health and disease, underpinned by strong research skills in quantitative data analysis, field survey design, water quality assessment, and public health evaluation; although specific awards and honors are not widely listed in public sources, Assist. Prof. Dr. Eliseu Assis’s citation profile and leadership in complex research projects reflect recognition by his peers and the broader scientific community; in conclusion, Assist. Prof. Dr. Eliseu Assis continues to advance scholarship and education through rigorous research, committed teaching, and mentorship, making meaningful contributions to public health science and environmental health research that support evidence-based strategies to improve population well-being in Brazil and globally

Citation Metrics (Scopus Preview)

100

Citations
75

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View Scopus Profile

Featured Publications:

Tolentino Júnior, D. S., Marques, M. S. V., Krummenauer, A., Duarte, M. M. S., Rocha, S. M., Brito, M. G., Santana, L. F., Oliveira, R. C., Assis, E. M., Cavalcante, K. K. de S., & Alencar, C. H. (2023). Rabies outbreak in Brazil: First case series in children from an indigenous village. Infectious Diseases of Poverty, 12(1), Article 78. https://doi.org/10.1186/s40249-023-01130-y

Radhia Souissi | Geochemistry | Research Excellence Award

Prof. Radhia Souissi | Geochemistry | Research Excellence Award

Prof. Radhia Souissi | Geochemistry | Institut National de Recherche et d’Analyse Physico-Chimique | Tunisia

Citation Metrics (Scopus)

600

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Citations
606
By 518 documents

Documents
46

h-index
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Featured Publications:

Author(s). (2025). Characterization and distribution of microplastics on the beaches of Southern Tunisia: A case study of the Island of Djerba. Euro-Mediterranean Journal for Environmental Integration.
Citations: 1

Author(s). (2025). The geochemical characteristics of ore-forming fluids in the Jebel Stah fluorite deposit in Northeast Tunisia: Insights from LA-ICP-MS and Sr isotope analyses. Minerals.
Citations: 2

Author(s). (2025). Impacts of natural organic matter and dissolved solids on fluoride retention of polyelectrolyte multilayer-based hollow fiber nanofiltration membranes. Membranes.
Citations: 1

Author(s). (2025). Conservative behavior of 87Sr/86Sr isotope ratios from soil to olive oil in Tunisia: A tool for geographical traceability. Journal of Agricultural and Food Chemistry.
Citations: 2

Adrián Alarcon | Network | Best Industrial Research Award

Mr. Adrián Alarcon | Network | Best Industrial Research Award

Mr. Adrián Alarcon | Network | Researcher at CIRCE – Centro Tecnológico | Spain

Mr. Adrián Alarcon is a researcher specializing in smart grids and intelligent control of electrical power systems with a particular emphasis on modern network-oriented challenges associated with voltage regulation, renewable integration, and artificial intelligence applications in power engineering. Mr. Adrián Alarcon holds advanced technical education in electrical and energy systems, including graduate-level training in smart energy, data science, and related computational disciplines, positioning him at the intersection of engineering and data-driven optimization. His formal training includes master’s degrees in Smart Energy with a focus on renewable energy and digitalization and a Magister in Data Science, along with additional coursework in power system analysis, statistics, and industrial maintenance, reflecting a broad technical foundation in both theoretical and applied facets of energy systems and network control. Professionally, Mr Adrián Alarcon is currently employed as an Investigator (Smart Grid Researcher) at CIRCE – Centro Tecnológico in Zaragoza, Spain, where he leads and contributes to research projects aimed at improving voltage control and operational resilience of electrical grids, particularly through integrating artificial intelligence and neuroevolutionary approaches into classical power system control frameworks; his work involves rigorous simulation, algorithm development, and comparative analysis of machine learning and heuristic optimization techniques for autonomous grid regulation and smart network performance. Before his current role, Mr. Adrián Alarcon accumulated extensive industry experience, including technical and leadership positions in system protection, operations analysis, electrical interconnections, and teaching, demonstrating his ability to bridge academic research with real-world power engineering challenges. His research interests revolve around network-centric voltage regulation, autonomous control agents, deep reinforcement learning, and evolutionary computing applied to power systems, with a core focus on enhancing grid stability, efficiency, and adaptivity under variable renewable generation and complex operating conditions. Mr. Adrián Alarcon’s research skills encompass advanced programming (Python, C/C++), simulation environments for power systems, neural network design, comparative algorithm evaluation, and metaheuristic optimization, enabling systematic exploration of intelligent control strategies and performance benchmarking against conventional control schemes. While formal awards and honors for Mr. Adrián Alarcon’s academic work are not broadly publicly documented, his publication in a peer-reviewed journal and leadership in applied research projects reflect professional recognition within the smart grid research community. In conclusion, Mr Adrián Alarcon stands out as a dedicated engineer-scientist focused on addressing key network challenges in modern electrical systems, with a demonstrable trajectory of integrating data-driven intelligence into the evolution of smart grid technologies.

Academic Profile: ORCID

Featured Publications:

Alarcón Becerra, A., Albernaz Lacerda, V., Rocca, R., Talayero Navales, A. P., & Llombart Estopiñán, A. (2025). Comparative Study of Neuroevolution and Deep Reinforcement Learning for Voltage Regulation in Power Systems. Inventions, 10(6), 110. Published 2025. Citations: citation data not yet available / indexing pending.

 

 

Amira Moawad | Antimicrobial Resistance | Women Researcher Award

Assoc. Prof. Dr. Amira Moawad | Antimicrobial Resistance | Women Researcher Award

Associate Professor | Friedrich Loeffler Institut | Germany

Assoc. Prof. Dr. Amira Moawad is an accomplished Associate Professor and scientific researcher known for her advanced expertise in veterinary microbiology, antimicrobial resistance, and zoonotic pathogens within the One Health framework. With a strong multidisciplinary foundation supported by dual doctoral qualifications and extensive training in molecular diagnostics, she has built a distinguished research portfolio focused on the detection, characterization, and epidemiology of bacterial pathogens affecting humans and animals. Her work employs cutting-edge methodologies such as PCR-based systems, whole-genome sequencing, machine learning–assisted identification, and high-containment laboratory practices, contributing significantly to global efforts against antibiotic resistance. Assoc. Prof. Dr. Amira Moawad has led and supported impactful studies on emerging resistant bacteria, innovative diagnostics, and comparative epidemiological trends across regions. Her research on Staphylococcus aureus, Escherichia coli, Brucella species, Coxiella burnetii, and other priority pathogens has strengthened understanding of transmission pathways and resistance evolution in agricultural and environmental systems. She is widely published, actively engaged in international collaborations, and committed to antimicrobial stewardship and biosurveillance innovation. Her scientific influence is reflected in 550 Citations by 525 documents, 18 Documents, and an h-index of 12.

Profiles: Scopus | Orcid

Featured Publications

Ammar, A. M. A., Ahmed, Y. A. El-G., Asawy, A. M. I., & Moawad, A. A. (2010). Bacteriological studies on Salmonella enteritidis isolated from different sources in Dakhlia Governorate. Assiut Vet. Med. J., 56(124).

Moawad, A. A., Hotzel, H., Awad, O., Tomaso, H., Neubauer, H., Hafez, M. H., & El-Adawy, H. (2017). Prevalence, molecular characterization and antibiotic resistance of Salmonella enterica and Escherichia coli isolated from raw chicken and beef meat marketed in Northern Egypt. Gut Pathog, 9, 57.

Ramadan, H. H., Jackson, C. R., Taha, S. A., Moawad, A. A., Barrett, J. B., & Woodley, T. A. (2018). Contribution of healthy chickens to antimicrobial-resistant Escherichia coli associated with human extraintestinal infections in Egypt. Vector Borne Zoonotic Dis.

Klemmer, J., Njeru, J., Emam, A., El-Sayed, A., Moawad, A. A., Henning, K., Elbeskawy, M. A., Sauter-Louis, C., Straubinger, R. K., Neubauer, H., & El-Diasty, M. M. (2018). Q fever in Egypt: Epidemiological survey of Coxiella burnetii specific antibodies in cattle, buffaloes, sheep, goats and camels. PLoS One, 13(2), e0192188.

Moawad, A. A., Hotzel, H., Neubauer, H., Elricht, R., Monecke, S., Tomaso, H., Hafez, H. M., & El-Adawy, H. (2018). Antibiotic resistance in Enterobacteriaceae from healthy broilers in Egypt: Emergence of extended-spectrum β-lactamase-producing and colistin-resistant Escherichia coli. Gut Pathog, 10, 39.